Title :
Morphological perceptrons with dendritic structure
Author :
Ritter, Gerhard X. ; Iancu, Laurentiu ; Urcid, Gonzalo
Author_Institution :
CISE Dept., Florida Univ., Gainesville, FL, USA
Abstract :
Recent advances in neurobiology and the biophysics of neural computation have brought to the foreground the importance of dendritic structures of neurons. These structures are now viewed as the primary basic computational units of the neuron, capable of realizing logical operations. Based on these new biophysical neural models, we develop a new paradigm for single layer perceptrons that incorporates dendritic processes. The basic computational processes in dendrites as well as neurons are based on lattice algebra. The computational capabilities of this new perceptron model is demonstrated by means of several illustrative examples and two theorems.
Keywords :
algebra; dendrites; dendritic structure; perceptrons; biophysics; computational capabilities; computational dendrite process; computational neuron units; dendritic structures; lattice algebra; logical operations; morphological perceptrons; neural computation; neurobiology; single layer perceptrons; Algebra; Artificial neural networks; Biological neural networks; Biomedical optical imaging; Brain modeling; Cerebral cortex; Computer networks; Lattices; Neurons; Optical network units;
Conference_Titel :
Fuzzy Systems, 2003. FUZZ '03. The 12th IEEE International Conference on
Print_ISBN :
0-7803-7810-5
DOI :
10.1109/FUZZ.2003.1206618
